Advances in Machine Learning for Big Data Analysis
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Beschreibung
This book focuses on research aspects of ensemble approaches of machine learning techniques that can be applied to address the big data problems.
In this book, various advancements of machine learning algorithms to extract data-driven decisions from big data in diverse domains such as the banking sector, healthcare, social media, and video surveillance are presented in several chapters. Each of them has separate functionalities, which can be leveraged to solve a specific set of big data applications. This book is a potential resource for various advances in the field of machine learning and data science to solve big data problems with many objectives. It has been observed from the literature that several works have been focused on the advancement of machine learning in various fields like biomedical, stock prediction, sentiment analysis, etc. However, limited discussions have been carried out on application of advanced machine learning techniques in solving big data problems.
This book focuses on research aspects of ensemble approaches of machine learning techniques that can be applied to address the big data problems.
In this book, various advancements of machine learning algorithms to extract data-driven decisions from big data in diverse domains such as the banking sector, healthcare, social media, and video surveillance are presented in several chapters. Each of them has separate functionalities, which can be leveraged to solve a specific set of big data applications. This book is a potential resource for various advances in the field of machine learning and data science to solve big data problems with many objectives. It has been observed from the literature that several works have been focused on the advancement of machine learning in various fields like biomedical, stock prediction, sentiment analysis, etc. However, limited discussions have been carried out on application of advanced machine learning techniques in solving big data problems.
Focuses on research aspects of ensemble approaches of machine learning techniques Serves as a resource for various advances in the field of machine learning and data science Offers a reference guide for researchers and practitioners in academia and industry
Autor*in
Satchidananda Dehuri
Themen in »Advances in Machine Learning for Big Data Analysis«
Machine Learning Big Data Analysis Data Mining Pattern Recognition Supervised Learning Classification Unsupervised Learning Clustering Semi-supervised Learning Prediction Change Detection Outlier Analysis Multi-objective Optimization